In the present study we present a new modeling approach of a whole-brain network model based on a
combination DTI-driven anatomical connectivity of the brain and Jansen and Rit neural mass model. We
also propose an approach to personalize such brain network model with subject specific EEG and MRI
data. We study the structural and functional relationship and the inter- and intra-subject variability for two
healthy patients with different conditions, eyes open and eyes closed resting-state EEG. ...
In the present study we present a new modeling approach of a whole-brain network model based on a
combination DTI-driven anatomical connectivity of the brain and Jansen and Rit neural mass model. We
also propose an approach to personalize such brain network model with subject specific EEG and MRI
data. We study the structural and functional relationship and the inter- and intra-subject variability for two
healthy patients with different conditions, eyes open and eyes closed resting-state EEG. The personalization
is based on a comparison of functional connectivity estimates between simulated and real data to fit the
parameters of the model. The vision of this study is to generate a proof of concept that which such models
we can personalize virtual brains models in order to customize treatment for neurological diseases.
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